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Greg Isenberg’s Step-By-Step Blueprint To Building A Successful AI Business — Transcript

by The Next Wave - AI and the Future of Technology · 7,059 words · 1,057 segments · language en · Watch on YouTube

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  1. 0:00So, I'll give you the playbook of if I
  2. 0:03was starting an AI company, here's how I
  3. 0:05would do it.
  4. 0:06How do you decide what companies to
  5. 0:08either invest in or build with this
  6. 0:11whole narrative that these AI companies
  7. 0:14don't have a moat?
  8. 0:15I think it's wrong. We started a
  9. 0:16business that is going to do two to
  10. 0:18three million dollars of free cash flow
  11. 0:21without raising one cent from anyone
  12. 0:22else, and it was all using this
  13. 0:25framework.
  14. 0:27Hey, welcome to the Next Wave podcast.
  15. 0:29My name is Matt Wolf. I'm here with my
  16. 0:30co-host Nathan Lands, and we've got an
  17. 0:33excellent show for you today. So, in the
  18. 0:35AI world, you've probably heard a lot
  19. 0:37that AI businesses have no moat. It's
  20. 0:39really, really difficult to create a new
  21. 0:41business in the world of AI when
  22. 0:43everybody can create similar businesses.
  23. 0:45Well, on today's show, we've got Greg
  24. 0:47Eisenberg, and Greg has a completely
  25. 0:50different idea about how this is all
  26. 0:52going to play out. In fact, he gave us a
  27. 0:54step-by-step roadmap, a playbook on how
  28. 0:58you can build a successful business in
  29. 1:00this current world of AI. So, let's go
  30. 1:02ahead and just dive in with Greg now.
  31. 1:05Greg Eisenberg, thanks for joining us
  32. 1:07here today.
  33. 1:08It's a dream come true.
  34. 1:09This is going to be fun. I mean, right
  35. 1:10now we're in this this era where AI is
  36. 1:13sort of taking over all of the news
  37. 1:15cycles, and everything has AI baked into
  38. 1:18it. Even all the products that don't
  39. 1:19seem like they need AI have AI baked
  40. 1:22into them. And you're doing some amazing
  41. 1:24stuff with AI, so it just it seems like
  42. 1:25a good fit for you to be one of our
  43. 1:27first early guests on this show and and
  44. 1:29talk about where all of this is headed.
  45. 1:31The interesting thing about AI is
  46. 1:33everyone from your barber to Jeff Bezos
  47. 1:36is interested in AI.
  48. 1:38Yeah.
  49. 1:39I recently got a haircut, and my barber
  50. 1:41was kept asking me about different AI
  51. 1:43tools that he was using. He wanted my
  52. 1:46feedback on it. And what Nathan and I
  53. 1:48actually have in common is I think I
  54. 1:50tweeted something about AI, and he
  55. 1:52tweeted something about AI, and then
  56. 1:54within 24 hours, Jeff Bezos both
  57. 1:56followed us on Twitter.
  58. 1:57And then Matt also got followed off of
  59. 1:59that.
  60. 1:59Yeah, we're all in an exclusive Jeff
  61. 2:00Bezos follows us club now.
  62. 2:02Yeah, yeah. So we got we got to finally
  63. 2:04message him and actually get him to come
  64. 2:05on or do something with all of us, so.
  65. 2:07That's right.
  66. 2:08So Greg, how do you see the holding
  67. 2:11company concept? How do you decide what
  68. 2:13companies to either invest in or build
  69. 2:16with this whole narrative that these AI
  70. 2:19companies don't have a moat, knowing
  71. 2:21that almost any company out there can
  72. 2:24use some of these existing resources to
  73. 2:27build the same software you're building?
  74. 2:29How is the approach to what companies to
  75. 2:31invest in or build?
  76. 2:33So there's this narrative that if you're
  77. 2:35building on top of OpenAI, ChatGPT, or
  78. 2:39this wrapper, that you have no moat and
  79. 2:42therefore you haven't built any value.
  80. 2:44And I think it's wrong. I think it's
  81. 2:46wrong. Because if you think of ChatGPT
  82. 2:48and OpenAI, what is it? It's basically
  83. 2:51an amalgamation of the craziest amount
  84. 2:54of worldwide data in one place. It's
  85. 2:56it's it's incredible. It's like a
  86. 2:58trillion times the uh great library in
  87. 3:02Alexandria. Maybe even more.
  88. 3:05And
  89. 3:06I think that uh what people don't get
  90. 3:08is, you know what's another little
  91. 3:10startup that is a thin wrapper around
  92. 3:12the world's information? Uh it's Google.
  93. 3:15Google doesn't create any of the
  94. 3:18content. They are a wrapper around the
  95. 3:21internet, but they point people to pages
  96. 3:24within the internet. And it's the
  97. 3:26greatest business model of all time. You
  98. 3:29know, even today, you know, it's a
  99. 3:31trillion-dollar company, if you look at
  100. 3:33their financial statements, a huge chunk
  101. 3:35of their business still comes from
  102. 3:36Google Search. I also think that there's
  103. 3:40this great unbundling of ChatGPT that is
  104. 3:43happening. Now, what unbundling is,
  105. 3:46there's a great quote, I think Jim
  106. 3:47Barksdale said it, there's two ways to
  107. 3:49make money. You're either unbundling or
  108. 3:52you're bundling.
  109. 3:53And what that means is, what does
  110. 3:55unbundling mean? Unbundling means, you
  111. 3:58know, if you look at Craigslist,
  112. 4:00Craigslist was a marketplace for
  113. 4:02everything. You had the ability to post
  114. 4:04a job. That became indeed.com.
  115. 4:07You had the ability to, you know, find a
  116. 4:11mate. And that became, you know, Tinder
  117. 4:14and and what Match is doing. Basically,
  118. 4:17on the internet, you can't really be
  119. 4:19everything everyone.
  120. 4:21So, there's going to be a huge
  121. 4:23opportunity to look at what are the
  122. 4:25different use cases on the horizontal
  123. 4:27platforms
  124. 4:28like ChatGPT and what OpenAI is doing.
  125. 4:31And basically, think about how can I
  126. 4:34apply a community-first approach,
  127. 4:37create what you might call as a thin
  128. 4:39wrapper, but what I call is
  129. 4:42this is dope. I don't have to rebuild
  130. 4:44everything from scratch.
  131. 4:45And and just focus on a particular use
  132. 4:50case. Now, I want to give one quick
  133. 4:51example to that. I forget the name of
  134. 4:54the founder of pdf.ai. And
  135. 4:57when ChatGPT introduced this idea around
  136. 5:00you can now talk with a PDF, basically,
  137. 5:03everyone basically assumed that this
  138. 5:05guy's {quote} thin wrapper was going to
  139. 5:08go to zero. And what he noticed is that
  140. 5:10revenue actually didn't really go down.
  141. 5:13A lot more people now knew about
  142. 5:15ChatGPT. There was news about it. They
  143. 5:17knew that you can use PDFs. And he had a
  144. 5:20purpose-built
  145. 5:21business focused on it. So, I think
  146. 5:24you're going to see more of like the PDF
  147. 5:26AI stories than you are going to see
  148. 5:28other stories.
  149. 5:29Yeah, I've always thought the critique
  150. 5:31on like the thin wrapper thing was kind
  151. 5:33of Like, I don't know like it
  152. 5:35it doesn't make a lot of sense to me.
  153. 5:35Like, like almost every company on the
  154. 5:37internet's relying on something. I mean,
  155. 5:39at one level or not. I'm like, even
  156. 5:40everybody's relying on the internet.
  157. 5:41You're right. You know, where I think
  158. 5:43the community approach that you're doing
  159. 5:45makes a lot of sense It's probably a
  160. 5:47really unique advantage is that with the
  161. 5:50new AI tools and especially let's say
  162. 5:52GPT 5 comes out and it's even way more
  163. 5:54impressive than GPT 4, we're going to
  164. 5:56get to a point where you're going to be
  165. 5:58able to look at a a SaaS website and
  166. 6:00say, "Hey GPT 5, go build that for me.
  167. 6:03Make my own version for me." That might
  168. 6:05be like a year away. And if you have a
  169. 6:07brand and a community people who trust
  170. 6:09you, like you, I think they'll keep
  171. 6:11doing business with you. Whereas if
  172. 6:12you're just like a soulless company that
  173. 6:15doesn't have that, I think you're at a
  174. 6:16great disadvantage in this next wave.
  175. 6:19Uh yeah, I want to expand on that cuz I
  176. 6:21don't think a lot of people are talking
  177. 6:22about like the marketing community angle
  178. 6:25to these products. Yeah. For the longest
  179. 6:27time people were saying that energy
  180. 6:30drinks were actually a saturated market.
  181. 6:33And then out of nowhere, what's like the
  182. 6:35best performing stock of the last 12
  183. 6:36months or one of the best is Celsius
  184. 6:39Holdings. And you know, it's like a $15
  185. 6:42billion company. It's a energy drink
  186. 6:45that they're they originally targeted
  187. 6:47women. Cuz in their research and
  188. 6:49insight, they noticed that if you look
  189. 6:50at like Monster Energy and all these
  190. 6:53you know, energy drinks, it was very
  191. 6:54like male-dominated. Now, what's the
  192. 6:57difference from a formula perspective of
  193. 7:00a Monster versus like a Bang or
  194. 7:03whatever? Like probably not that
  195. 7:05different. Same with beer. You know,
  196. 7:08what's the difference between
  197. 7:09you know, a Miller Lite and a Coors
  198. 7:11Light? Now, a lot of people listening
  199. 7:14are going to be like, "No, I'm a Miller
  200. 7:16I'm a Miller I'm a Miller girl or Miller
  201. 7:18guy or I'm a Coors Light guy."
  202. 7:21But that's identity playing into it. And
  203. 7:23you you've in your identity, you're
  204. 7:25like, "I'm that type of person." And I
  205. 7:26think you're going to see that
  206. 7:27identity-based consumption model happen
  207. 7:30with AI startups, too. Like I'm not I'm
  208. 7:33a Gemini person. I'm not a ChatGPT
  209. 7:35person.
  210. 7:36Was it pdf.ai?
  211. 7:38What what would be some like advice you
  212. 7:40would give to that company as as far as
  213. 7:42like building a community around it. How
  214. 7:43do you build a community around a tool
  215. 7:45that essentially just helps you
  216. 7:47understand PDFs better?
  217. 7:49Yeah. Well, I think that the issue with
  218. 7:52pdf.ai is it's niche, not what I call
  219. 7:55super niche.
  220. 7:56So,
  221. 7:58step one is your horizontal, you have no
  222. 8:00niche, you're chat GPT. Step two is your
  223. 8:02niche, you're you've picked like PDF as
  224. 8:06your category. And then step three is
  225. 8:08micro niche, which is like your PDF for
  226. 8:10lawyers.
  227. 8:11Your PDF for accountants.
  228. 8:14What I would be doing is be focusing on
  229. 8:16the community piece if I was him. What
  230. 8:18are the different communities that need
  231. 8:21PDFs the most? And trying to retrofit it
  232. 8:24for those people cuz those people, like
  233. 8:26accountants or lawyers for example, will
  234. 8:29have a set of pain points that are going
  235. 8:31to be different than me or you just cuz
  236. 8:34we're we're different. And also they
  237. 8:36just might just trust you more if it's
  238. 8:38called legal PDF as well, which is like
  239. 8:41the the beer example. They might just
  240. 8:43trust you because they like the name,
  241. 8:45which also is an a thing that not many
  242. 8:47people talk about in startups, which is
  243. 8:49names actually pay a
  244. 8:51and you know this, Nathan.
  245. 8:54Yeah.
  246. 8:55Mr. Lawyer, but names actually pay a
  247. 8:58bigger role in how people actually
  248. 9:01connect with products than people like
  249. 9:03to think.
  250. 9:04Yeah, totally. I think you're right.
  251. 9:06Like especially like in the age of AI,
  252. 9:07that's going to matter more and more.
  253. 9:09Like having a name and a brand that
  254. 9:10people trust and they feel connected to
  255. 9:12so they keep going back and doing
  256. 9:13business with that company versus the
  257. 9:16random company that just, you know,
  258. 9:17sprouted up out of nowhere and just
  259. 9:19copied you with AI.
  260. 9:20You you bring up a good point around if
  261. 9:22if everyone could basically press the
  262. 9:24duplicate button. Yeah. Like how do we
  263. 9:26think about building companies in that
  264. 9:28in that world? It's a a really good
  265. 9:30point. I've thought about it a lot and I
  266. 9:31think that
  267. 9:32you know, the good side of it by the way
  268. 9:34is that it's going to be really easy to
  269. 9:36spin things up. Yeah.
  270. 9:38You can You can see a viral tweet and
  271. 9:39then be like, "Wow, this is really
  272. 9:40cool." And you can be living in like Sri
  273. 9:42Lanka, and you can be 14 years old, and
  274. 9:44you can press the duplicate button, and
  275. 9:46then you can like, you know, pay for X
  276. 9:49blue, and you you show up, and you
  277. 9:50reply, and you get a million downloads.
  278. 9:52Like, your life could could change
  279. 9:54overnight.
  280. 9:54Yeah. The downside of the of that coin
  281. 9:57is that competition is going to 100X.
  282. 10:01Like, the amount of software that's
  283. 10:02going to be created is going to be 10 to
  284. 10:04100X minimum.
  285. 10:06Just like you saw that in content land
  286. 10:08with tools like Tik Tok. You know, I was
  287. 10:11an advisor to Tik Tok for a few years,
  288. 10:14and it was crazy seeing the amount of
  289. 10:16content, you know,
  290. 10:18just I mean, you see it. I'm sure you've
  291. 10:20seen played with Tik Tok. Like, there's
  292. 10:21the amount of content on all these
  293. 10:23platforms, Tik Tok, YouTube,
  294. 10:25Instagram. You give people easier tools
  295. 10:28to create things, they're going to
  296. 10:29create things. So, that's what's going
  297. 10:30to happen. I'd love to talk about you
  298. 10:32guys, like, how would you navigate this
  299. 10:34world where everyone's given the
  300. 10:36duplicate button?
  301. 10:37Well, I mean, Greg, that's that's a big
  302. 10:39reason like I thought you'd be a great
  303. 10:40guest on the show, honestly, is cuz like
  304. 10:42I think your approach is right on. Like,
  305. 10:44you're building a personal brand. I
  306. 10:45think in the age of AI, that's really
  307. 10:47important. You're an actual person.
  308. 10:49People like you, and you can leverage
  309. 10:51that across various companies that you
  310. 10:52build. So, I think that that approach is
  311. 10:55right on. The community aspect, having
  312. 10:57people involved in the actual product,
  313. 10:59so they like you, and and and they feel
  314. 11:00engaged, and actually you adjust the
  315. 11:02product based on feedback and and
  316. 11:04talking with them. I think it's huge.
  317. 11:06And also, you've got the Innovation
  318. 11:07Agency as well, right? That's another
  319. 11:09one where like Yeah, in this new age,
  320. 11:11like, companies have to be thinking
  321. 11:12about, "Oh, I don't just have this one
  322. 11:14product, and people are going to use
  323. 11:15this same product for 100 years."
  324. 11:17Somebody may come and copy it, and they
  325. 11:19and they, you know, I think that I have
  326. 11:21a better brand, but maybe all of a
  327. 11:22sudden they're cool, everybody switches
  328. 11:23over,
  329. 11:25you know? And so, you have to be you
  330. 11:26have to continue innovating and trying
  331. 11:27new things. And I I think the companies
  332. 11:29that are really going to be the big
  333. 11:31companies in the next, you know, 100
  334. 11:32years are the ones that build innovation
  335. 11:34into their company and they're
  336. 11:36constantly innovating and spinning out
  337. 11:37new projects.
  338. 11:38So, I I run this site called Future
  339. 11:40Tools, which, you know, it it curates
  340. 11:42all of the latest AI tools that um that
  341. 11:44come out. There's a submission form on
  342. 11:46the site where people submit their tools
  343. 11:49to me. I review them with a team of a
  344. 11:51couple extra people, and this the tools
  345. 11:53that I think are cool make it onto the
  346. 11:55site. So, I'm truly trying to curate
  347. 11:56now. The problem that I tend to have is
  348. 11:59that
  349. 12:00every single day 13 of the exact same
  350. 12:02tool pops onto the site, right? Almost
  351. 12:04every single day I'm like, this I I I
  352. 12:06see a tool that's like, here is your AI
  353. 12:08copywriter. Use this to write your sales
  354. 12:11copy for your business. Here's an AI
  355. 12:13blog writer. Every single day there's
  356. 12:15like 11 of those submitted to the point
  357. 12:18where I can't even tell the difference,
  358. 12:20and a lot of times it's like a
  359. 12:21completely different company, but I
  360. 12:23swear I've seen that site, that UI, that
  361. 12:25that page before. And so, um
  362. 12:28you know, from the perspective I'm in,
  363. 12:30where I'm seeing all these tools being
  364. 12:31submitted to me, it feels like uh this
  365. 12:34this AI world has kind of gotten to a
  366. 12:36place where everybody is just kind of
  367. 12:38already cloning everything else. Oh,
  368. 12:40that tool worked, let's clone it.
  369. 12:41Somebody else clones it. Somebody else
  370. 12:42clones it. It gets to a point where, you
  371. 12:45know, the the the first movers, the the
  372. 12:48the ones that put out the product first
  373. 12:50are still the ones that people talk
  374. 12:51about, but then there's just like a
  375. 12:53whole bunch of junk that followed behind
  376. 12:55it. So, I do think that being an early
  377. 12:58mover is important, but then I also
  378. 13:01think about that the sort of big
  379. 13:02incumbents, right? You've got the the
  380. 13:04Googles, the Adobes, the Microsofts,
  381. 13:06companies like that. And
  382. 13:09you know, I feel like we might be moving
  383. 13:11into this world where whenever something
  384. 13:13works really, really well as a small
  385. 13:15SaaS company, one of those big companies
  386. 13:17is either just going to acquire it or
  387. 13:19build it in, and then wipe out pretty
  388. 13:22much everybody else that was doing that
  389. 13:24already. I mean, we were talking even
  390. 13:25before we hit record about uh the new
  391. 13:28open AI video model. It's like when that
  392. 13:31gets released to the public in a single
  393. 13:33day, that's already better than Runway,
  394. 13:35than Pika, than animate diffusion, all
  395. 13:38of that stuff. There's already a better
  396. 13:40option out there. So now, you know, what
  397. 13:42what do we do with those now?
  398. 13:44So, I'll give I'll give you and and
  399. 13:46folks listening the playbook of if I was
  400. 13:49starting an AI company, here's how I
  401. 13:51would do it.
  402. 13:53And I'll use an example that we've done
  403. 13:56and it has worked. Like I can finally
  404. 13:59say it's worked. We started a business,
  405. 14:01an AI-powered business that is going to
  406. 14:04do two to three million dollars of free
  407. 14:05cash flow without raising one cent from
  408. 14:08anyone else.
  409. 14:09And it was all using this framework. So,
  410. 14:12the business is called
  411. 14:13boringmarketing.com.
  412. 14:14We started off as a Twitter account,
  413. 14:17literally. Anyone could sign up for a
  414. 14:18Twitter account. It's free. More or
  415. 14:20less.
  416. 14:21And we I called it @boringmarketer.
  417. 14:25And we created a character
  418. 14:27behind this idea around, you know,
  419. 14:29people talk about boring businesses, but
  420. 14:31not that many people talk about boring
  421. 14:33marketing. So you start Step one is you
  422. 14:35you build a character. You You start
  423. 14:37with a character that people are going
  424. 14:38to connect with or maybe you are that
  425. 14:41character. Like maybe like for me like I
  426. 14:43like being that character, you know? Or
  427. 14:45or Nathan likes being that character.
  428. 14:47So, we just started like talking about
  429. 14:49boring ways to grow your internet
  430. 14:51business. People kept asking us about
  431. 14:54SEO, SEO, SEO. And then we looked at the
  432. 14:57market and we realized that there was an
  433. 15:00opportunity to create AI-assisted tools
  434. 15:04to do SEO. So we started using those AI
  435. 15:08tools on our own products. That's
  436. 15:09another benefit of having a holding
  437. 15:11company. You can basically you have this
  438. 15:12portfolio of companies that could dog
  439. 15:14food your product. The good news of it
  440. 15:17is we knew that people wanted it cuz
  441. 15:18they were telling us that they wanted
  442. 15:20it. We built this community of about
  443. 15:2310,000 people and then we took that
  444. 15:26those AI tools, we wrapped it around a
  445. 15:28service agency to to help people
  446. 15:31implement and create content and and
  447. 15:34people started seeing results. It
  448. 15:36started driving word of mouth. So now
  449. 15:38all of a sudden like fast forward like
  450. 15:40that you know, it hit a seven figure run
  451. 15:42rate within four or five months and now
  452. 15:44it's it's it's a really profitable
  453. 15:45engine and and now we're moving towards
  454. 15:48like by the time this is out like
  455. 15:50boringads.com
  456. 15:51will be out.
  457. 15:53No brand is attached to a lot of this.
  458. 15:54Like it is is the that sort of quick run
  459. 15:57rate, is it because you sort of had a a
  460. 15:59springboard with your own personal brand
  461. 16:01or do you think it's due to the the
  462. 16:03merits of the products themselves?
  463. 16:04Like I'm just going on boring marketer
  464. 16:06right now, the Twitter account, you
  465. 16:07know, 100, 200, 300 likes per tweet. And
  466. 16:11this is boring SEO stuff, right? Like
  467. 16:15What What a cool thing about having, you
  468. 16:17know, one personal brand with a few
  469. 16:19thousand people, you can kind of like
  470. 16:22give seed capital, kind of like you
  471. 16:24know, social capital to another account
  472. 16:27and be like, "Hey, like I just started
  473. 16:29boring at boring marketer, check it
  474. 16:31out."
  475. 16:31Yeah.
  476. 16:32That gets the first two or three
  477. 16:33thousand followers and then from that
  478. 16:35you try to get it to a point where it's
  479. 16:37like, you know, it starts off as a baby
  480. 16:39and then gets to a toddler and then a
  481. 16:41child and then now it's like an adult.
  482. 16:43So I think how helpful was it for me to
  483. 16:46be behind it initially? Helpful. But do
  484. 16:49I think it like you know, my take on
  485. 16:52Twitter specifically is anyone can get
  486. 16:55to 10,000 followers if you just set up
  487. 16:58tweet notifications and write thoughtful
  488. 16:59replies.
  489. 17:01So you could have done that. You could
  490. 17:02have started at boring marketer. It
  491. 17:04probably would have taken you four
  492. 17:05months to get there. I was able to do it
  493. 17:07in four days, but I don't think that
  494. 17:10should be a stopping point for people
  495. 17:11who want to do something like this.
  496. 17:13I wanted to talk about like the agency
  497. 17:15business model. I know that was one of
  498. 17:17the the notes that we had, Nathan, that
  499. 17:19we wanted to dive into. Do like agencies
  500. 17:22still exist several years down the road?
  501. 17:24I mean, if if we can if you know, chat
  502. 17:27GPT becomes our our consultant and we
  503. 17:31can prompt any website into existence in
  504. 17:34a year or two from now?
  505. 17:36I think low to mid-level agencies get
  506. 17:40commoditized to basically
  507. 17:42nothing or very little. So, you're
  508. 17:45right. In a world where you can just
  509. 17:47prompt something to create a website or
  510. 17:49a landing page or
  511. 17:51you know, a marketing video. Like of
  512. 17:53course, you know,
  513. 17:54that's tough. And I think there's
  514. 17:56millions of people who work in that
  515. 17:57space that are that's tough. Like it is
  516. 18:00a tough place to be. You know, do I
  517. 18:01think that, you know, McKinsey's going
  518. 18:04anywhere or Bain or IDEO or, you know,
  519. 18:08we have a an innovation agency where we
  520. 18:11work with Fortune 500s and and some
  521. 18:13fast-growing startups with like Jasper
  522. 18:15AI and people like that. Do I think
  523. 18:17we're going anywhere on the innovation
  524. 18:19side? Absolutely not. People forget that
  525. 18:22you need taste. Yeah.
  526. 18:24Like taste is going to be the most
  527. 18:27sought-after
  528. 18:28a skill set for the next, you know, at
  529. 18:31least 10 years, whereas, and this is
  530. 18:33somewhat controversial, I think
  531. 18:34engineering was the most sought-after
  532. 18:36skill set of the last 10 years. And I'm
  533. 18:38a I can say that as like I studied
  534. 18:40computer science. Like I'm a trained
  535. 18:42engineer, you know? But I think that if
  536. 18:44you're able to if you have good taste
  537. 18:46and you know how to prompt and you know
  538. 18:47how to come up with, you know, great
  539. 18:50ideas. I'll give you an example. Like we
  540. 18:53we came up with a really big idea for a
  541. 18:55Fortune 100 company
  542. 18:56to shift their entire business. If
  543. 18:58you're the CEO of that company, you're
  544. 19:00not just going to like prompt an idea
  545. 19:02generator to do that. You're going to
  546. 19:04want to outsource that thinking to
  547. 19:06someone that you can trust. And that's
  548. 19:07where taste comes in, right? Like
  549. 19:10So, I think that yeah, good get me taste
  550. 19:12on
  551. 19:12Yeah.
  552. 19:12You got to
  553. 19:13Another sort of example along the same
  554. 19:15lines is right I've got a YouTube
  555. 19:17channel.
  556. 19:18All of my thumbnails for my YouTube
  557. 19:20channel are created with AI. I've got
  558. 19:21like an AI model with my face trained
  559. 19:23into it. You know, I I use midjourney
  560. 19:25for backgrounds. I actually still have a
  561. 19:28thumbnail designer on my team. He uses
  562. 19:31AI for me because he knows what
  563. 19:33thumbnails look better than I do, right?
  564. 19:36So he can actually use these tools
  565. 19:38Dolly, the stable diffusion, midjourney.
  566. 19:41And I mean I can create amazing images
  567. 19:43with those. He creates really amazing
  568. 19:45thumbnails, pulls them all together, and
  569. 19:47still has a much better design eye than
  570. 19:49I have. So I still hire somebody to use
  571. 19:52AI for me to make the thumbnails.
  572. 19:54Yeah. Yeah, but I think one thing there
  573. 19:56though is like, you know, a lot of grunt
  574. 19:58work I think will be kind of replaced
  575. 20:00with this, all right? It's like your the
  576. 20:02guy who's making the thumbnails, he has
  577. 20:03great taste. But if it was somebody who
  578. 20:04was doing something just very repetitive
  579. 20:07without a lot of thought put into it or
  580. 20:08you know, required taste, a lot of that
  581. 20:11is going to get automated away.
  582. 20:12Yeah, and I think in a lot of ways too,
  583. 20:14it you know, what you were saying it
  584. 20:15sort of levels the playing field as
  585. 20:17well. So yes, there's going to be like
  586. 20:20non-skilled people that might struggle a
  587. 20:22little bit, but those people in that
  588. 20:23sort of middle-class realm, they also
  589. 20:26have these tools at their disposal to
  590. 20:29sort of take them to the next level. If
  591. 20:31you want to learn how to code, it's
  592. 20:32easier than ever right now to learn how
  593. 20:34to code. If you want to learn how to be
  594. 20:35really good at graphic design, it's
  595. 20:37easier than ever to learn how to be
  596. 20:39really good at graphic design. So I feel
  597. 20:41like the people that are sort of in that
  598. 20:43middle lower end, I know this is like a
  599. 20:45buzzword, but it sort of democratized
  600. 20:47the information to to get you there,
  601. 20:49right? Like now it's a lot easier to go
  602. 20:51from zero to one with the tools that are
  603. 20:54available out there.
  604. 20:55I think those people are at a
  605. 20:57crossroads. Like they can either see the
  606. 20:59knowledge and see the tools and be like,
  607. 21:01I'll get to you later, or they can get
  608. 21:04their hands dirty. Mhm.
  609. 21:06kind of convinced this stuff's going to
  610. 21:07get you know, 20 to 50% better every
  611. 21:10year for the next 5 years. So, that's
  612. 21:12that's coming soon that this is going to
  613. 21:13be able to help you plan out
  614. 21:15your life in like an action plan of
  615. 21:17things you could be doing to make your
  616. 21:18life better. So, I I think that's going
  617. 21:20to be such an unlock for so many people.
  618. 21:23There there's this sort of narrative
  619. 21:24going on. We were talking about the, you
  620. 21:25know, AI video generators. Like OpenAI
  621. 21:28just came out with theirs. And there's
  622. 21:29this narrative that I just absolutely
  623. 21:31hate that I see all over Twitter that's
  624. 21:33like, "Oh, it's the end for directors.
  625. 21:35Oh, it's the end for filmmakers. Look
  626. 21:37what you can do now." And I I can't
  627. 21:39stand that narrative. I don't like the
  628. 21:40narrative of anytime somebody goes on
  629. 21:42Twitter and makes a blanket statement
  630. 21:44of, "This AI is killing this industry."
  631. 21:46What I feel right now is that it levels
  632. 21:50the playing field, but it also sort of
  633. 21:53raises the playing field. It makes
  634. 21:54everybody that is
  635. 21:56sort of making videos, making art sort
  636. 21:59of up-level their game because now what
  637. 22:02used to be something people thought was
  638. 22:03really good, now anybody can do it. So,
  639. 22:06the people that were good at that now
  640. 22:08need to up their game and get even
  641. 22:10better at that thing because pretty much
  642. 22:12everybody can do the original thing. And
  643. 22:14so, I feel like that is kind of what
  644. 22:17we're what we're seeing right now,
  645. 22:19especially with like AI video and AI
  646. 22:21image creation, is just this this
  647. 22:24leveling the playing field for what used
  648. 22:26to be considered good, but also raising
  649. 22:28the bar for what is really amazing now.
  650. 22:30And I feel like it gives creatives, like
  651. 22:33the the video creators, the art
  652. 22:35creators, superpowers, right? Like if
  653. 22:37you're really, really good at art and
  654. 22:39now you have AI at your disposal to make
  655. 22:41art even better, you're still going to
  656. 22:44be ahead of the game of the person who
  657. 22:45just learned AI art.
  658. 22:47So, yeah, let's let's talk about that.
  659. 22:49So,
  660. 22:50Sora, which is the model I think you're
  661. 22:53you're talking about, is really
  662. 22:54interesting cuz you can essentially
  663. 22:56prompt it to create, let's just say I
  664. 22:58wanted to create an animation film. And
  665. 23:02I'm right now I think it's only up to 1
  666. 23:03minute 1 minute of film, but I'm I'm
  667. 23:05sure in the future you'll be get access
  668. 23:08to 90 minutes.
  669. 23:09And I wanted to create a film that
  670. 23:11essentially was like a Disney a Disney
  671. 23:14film
  672. 23:15but with my own script. Like that is in
  673. 23:17the realm of possibility in the future.
  674. 23:19So if anyone could be a Walt Disney
  675. 23:22basically
  676. 23:23and you you you can make that assumption
  677. 23:26if you have good ideas, right? If going
  678. 23:27back to the taste thing, you know you
  679. 23:29have good taste and you can write well
  680. 23:31and you have the skills to do that
  681. 23:33then what is mispriced? The mispriced
  682. 23:35piece is the distribution.
  683. 23:38The only place that you can't compete
  684. 23:40with Disney is in distribution.
  685. 23:42They're in tens of thousands of movie
  686. 23:44theaters or hundreds of thousands of
  687. 23:46movie theaters across the world. They
  688. 23:47are on Netflix. Like they've done these
  689. 23:49deals. They're taking out Super Bowl
  690. 23:51ads, stuff like that, right? So that's
  691. 23:54where I think that people are mispricing
  692. 23:56creators and they're mispricing
  693. 23:59distribution in general. So if I'm
  694. 24:03listening to this and if I'm me too like
  695. 24:05and and I'm you like the thing to do is
  696. 24:08two things. One is you build a
  697. 24:11distribution lane.
  698. 24:13So you do everything you can to build as
  699. 24:15much distribution and credibility and
  700. 24:18trust as possible.
  701. 24:20And then the other lane
  702. 24:22is playing is the best way to describe
  703. 24:26it. Like you play with the tools and you
  704. 24:28play to learn. But you have to pick you
  705. 24:31can't just be like I'm going to be the
  706. 24:33video person and the audio person and
  707. 24:35then the writer person and then you have
  708. 24:37to like pick a lane also, right? Like
  709. 24:39you have to decide like oh my dream is
  710. 24:42to build
  711. 24:43is to be the next Walt Disney example.
  712. 24:45I spent a little bit of time in
  713. 24:46Hollywood. So for like a about a year
  714. 24:48and a half I was partner with Barry
  715. 24:49Osborne. I think Greg maybe I told you a
  716. 24:51little bit about this, but we you know
  717. 24:52lord.com originally the reason I bought
  718. 24:54the fancy domain
  719. 24:56is cuz I was you know I was partner with
  720. 24:57the producer of Lord of the Rings. I was
  721. 24:58like, we're going to make this new kind
  722. 25:00of movie studio together and it was this
  723. 25:01crazy dream of mine. And so I got to
  724. 25:03spend time on the the set of Mulan out
  725. 25:06in New Zealand, you know, Disney set and
  726. 25:08got to meet all these crazy people out
  727. 25:10in Hollywood, New Zealand. And but one
  728. 25:12thing you realize is it's so hard to
  729. 25:13break into that industry, right? And
  730. 25:15like you really have to know people and
  731. 25:17things like that and it does feel like
  732. 25:18with this new technology like so many
  733. 25:20more people are going to get discovered
  734. 25:22cuz they can they can show they can show
  735. 25:24their concepts to Netflix or whoever,
  736. 25:26right? Like right now the people who
  737. 25:27pitch Netflix, they're coming in with
  738. 25:29storyboards and things like that and a
  739. 25:31team and and that's a big part of what
  740. 25:33sales sales it is like the storyboard
  741. 25:35and like the concept and the research
  742. 25:37around it and before people you had to
  743. 25:40have a whole team to do that and now
  744. 25:41like somebody who has good taste they
  745. 25:43can have those ideas, produce the
  746. 25:45storyboards or a short video concept.
  747. 25:48Maybe not maybe that's not that's not
  748. 25:49going to be the final film, but they can
  749. 25:51produce them 1 minute or 90 minute video
  750. 25:54and say, "Hey, here's not the final
  751. 25:55film, but here you get the the gist of
  752. 25:57it. Here's the gist of this idea I have.
  753. 26:00Help me make it." And I think a lot of
  754. 26:01people are like Netflix will write
  755. 26:03checks like large checks to come in and
  756. 26:05produce those films. And so that's going
  757. 26:07to be exciting for so many people.
  758. 26:08So you think that like AI video is the
  759. 26:10new storyboard instead of making a
  760. 26:12storyboard? Here's just a mock of the
  761. 26:14video.
  762. 26:14I think there's so many opportunities
  763. 26:15around that. I think I think you're
  764. 26:17you're going to see like talent agencies
  765. 26:18too where they'll like, you know,
  766. 26:20they'll they'll pitch the studios with
  767. 26:21their talent and like just put our
  768. 26:23talent's face into the concept like
  769. 26:25here's how this you know, this guy that
  770. 26:26we have, girl, this is how they would
  771. 26:28look in this role and then you just show
  772. 26:29it, you know. There's like so many areas
  773. 26:31entertainment that's going to get
  774. 26:32changed from this, yeah.
  775. 26:33I also think that the leverage that
  776. 26:35you're going to have with the Netflixes
  777. 26:37of the world is going to be oh, I've got
  778. 26:4050,000 or 100,000 followers and I've
  779. 26:44already
  780. 26:45posted this IG clip or whatever and I
  781. 26:49got 20,000 shares and they're loving it
  782. 26:52and they're they're banging on the door,
  783. 26:53and they want more of it.
  784. 26:54Yeah.
  785. 26:55So, I think that's why I always go back
  786. 26:56to the distribution piece, cuz like I
  787. 26:58think that that if everyone has the
  788. 27:00ability to create essentially these
  789. 27:02Disney-style like levels of films and
  790. 27:05and and storyboards, like it's going to
  791. 27:07be you have to have some point of
  792. 27:09leverage.
  793. 27:10Yeah, I mean, when you look at like the
  794. 27:11the music industry and even like the the
  795. 27:13book industry, right? Among authors,
  796. 27:15when you go to get like a publishing
  797. 27:16deal for books, or if you go to get like
  798. 27:19a you know, a music production deal from
  799. 27:21these these music studios, that's kind
  800. 27:24of the thing they're looking at these
  801. 27:25days is how big of a following do you
  802. 27:26have, right? It's a heck of a lot easier
  803. 27:29to get a book publishing deal if you
  804. 27:30have a million subscribers on YouTube
  805. 27:32and, you know, a 1.5 million followers
  806. 27:35on X. You know, it sounds like that
  807. 27:38might be the future of video as well. If
  808. 27:40the sort of creation of video is
  809. 27:42completely democratized and anybody can
  810. 27:44make them, that's sort of the the next
  811. 27:46level is what sort of distribution do
  812. 27:47you bring to the table on your existing
  813. 27:49platforms? That's a I think that's a
  814. 27:52really interesting way to to look at it
  815. 27:53if I'm interpreting what you're saying,
  816. 27:54right?
  817. 27:55Yes. I mean, you saw that a little bit
  818. 27:56with music, you know, 10, 15, 20 years
  819. 27:59ago even. When YouTube came out, like
  820. 28:01Justin Bieber in was a YouTube creator.
  821. 28:04You know, we didn't call him that, but
  822. 28:05he posted videos on YouTube. He was
  823. 28:07found by Scooter Braun on YouTube, and
  824. 28:10then he became
  825. 28:12Justin Bieber, one of the biggest acts
  826. 28:15in the world, musical acts in the world,
  827. 28:16from YouTube. We don't have that really
  828. 28:19with
  829. 28:20movies, for example. Like the way you
  830. 28:23become big in movies is you go on a more
  831. 28:25traditional path.
  832. 28:27Like you go to USC and study film, and
  833. 28:30then you get an internship at, you know,
  834. 28:33you know, XYZ, you know, I don't even
  835. 28:35know, cuz I don't know the film
  836. 28:36business, but I know all I know from
  837. 28:38what I hear is that it's it's a very
  838. 28:40linear path, and you get like here's
  839. 28:41like you have to like check the boxes.
  840. 28:44What this does is there's only two boxes
  841. 28:47to check. Do you know the tools and do
  842. 28:49you have distribution is what I'm
  843. 28:50saying.
  844. 28:51And you can use the tools to get
  845. 28:52distribution too is the beautiful thing,
  846. 28:54right? Like you could be somebody in
  847. 28:56Quebec you whatever like in a small town
  848. 28:58who starts producing films or or AI art
  849. 29:01or whatever on Twitter and get an
  850. 29:02audience and then go out and try to take
  851. 29:05the next level and and actually, you
  852. 29:06know, partner with some big company to
  853. 29:07actually make it.
  854. 29:08Absolutely. I also think this is kind of
  855. 29:11a
  856. 29:12little bit of a different topic, but I
  857. 29:14think there's a huge opportunity to
  858. 29:16create content for different geographies
  859. 29:19Mhm.
  860. 29:20and languages and cultures.
  861. 29:22Yes.
  862. 29:23I'm interested to see how AI plays a
  863. 29:24role in that.
  864. 29:26So that like you're not just lip dubbing
  865. 29:28different videos for example. Like what
  866. 29:30if in France you're wearing like a beret
  867. 29:32or something and you know, in
  868. 29:36and and then the video in the US maybe
  869. 29:38you're not wearing a beret, right?
  870. 29:39You're you're wearing a baseball cap or
  871. 29:40something like that. Just like what are
  872. 29:42these little nuances things that you can
  873. 29:44add to the content
  874. 29:46so that it feels more oh, this is for
  875. 29:49me.
  876. 29:50This is for people like me and I think
  877. 29:53that's really interesting and I think
  878. 29:54that the greater trend to that is
  879. 29:57all media will be personalized.
  880. 29:59I think that's the really cool part
  881. 30:01about where we are in like the cycle in
  882. 30:03the this AI world. It's like
  883. 30:06it's not just an AI world. It's like
  884. 30:08there's a lot of mac massive trends
  885. 30:11happening right now like AI uh
  886. 30:14virtual reality
  887. 30:15Yep.
  888. 30:16Robotics is just starting as well and
  889. 30:17yeah.
  890. 30:18Robotics is just starting. I saw
  891. 30:20YC came out with their like here's the
  892. 30:23things that we're really interested I
  893. 30:24don't know if you saw that.
  894. 30:25Yeah, I saw it yesterday.
  895. 30:26Yeah, it's like you know, applying
  896. 30:28machine learning to robotics using
  897. 30:29machine learning to stimulate the
  898. 30:30physical world, new defense technology,
  899. 30:33bring manufacturing back to America, new
  900. 30:35space companies, climate tech
  901. 30:37Yeah.
  902. 30:37commercial open source companies,
  903. 30:39spatial computing, new enterprise
  904. 30:41resource planning software, developer
  905. 30:43tools inspired by existing internal
  906. 30:45tools, explainable AI, LLMs for manual
  907. 30:49back office processes in legacy
  908. 30:51enterprises, AI to build enterprise
  909. 30:53software, stablecoin finance, a way to
  910. 30:56end cancer, foundation models for
  911. 30:58biological systems, the managed service
  912. 31:00organization model for health care,
  913. 31:02eliminating middlemen in health care,
  914. 31:04better enterprise grew, and finally
  915. 31:07small fine-tuned models as an
  916. 31:09alternative to giant generic ones.
  917. 31:11There's a lot of stuff going on.
  918. 31:12And and and people were saying that part
  919. 31:14of that whole list was oh, well, you
  920. 31:16know, it's the end of the trend with SAS
  921. 31:18or something like this. I
  922. 31:20I think YC's like seeing the writing on
  923. 31:21the wall that like dramatic changes are
  924. 31:24coming. Like dramatic changes. And so
  925. 31:26yeah, we should be looking for more
  926. 31:27moonshots, big things, and and and it
  927. 31:29now the technology is making it
  928. 31:30possible. But also from a, you know,
  929. 31:32probably from their perspective from a
  930. 31:34in in investment stand standing I like
  931. 31:37the companies that they would have
  932. 31:39invested in before, a lot of those now
  933. 31:41probably be built with like one or two
  934. 31:42people. And they're not going to need as
  935. 31:44much capital, you know, and and Greg you
  936. 31:45talk a lot about this kind of stuff, but
  937. 31:47so I think they're looking like, okay,
  938. 31:48yeah, you
  939. 31:49investors and VCs are probably going to
  940. 31:51focus more and more on the companies
  941. 31:52that are really going to need a lot of
  942. 31:53caps.
  943. 31:54Right.
  944. 31:54People that are trying to solve cancer,
  945. 31:55people are trying to build robotics, and
  946. 31:57things like this, and like new type, you
  947. 31:59know, simulating the world with AI, like
  948. 32:01like very ambitious things that are
  949. 32:02going to require lots of capital because
  950. 32:05the other ones just like, God, it's not
  951. 32:06going to be a year or two. And
  952. 32:08especially, you know, I've been hearing
  953. 32:10from friends in San Francisco and a lot
  954. 32:11of them are like connected to the whole
  955. 32:12YC kind of network. Really positive
  956. 32:15things about GPT-5.
  957. 32:17I assumed, you know, since, you know,
  958. 32:19Sam Altman's connection to YC, a lot of
  959. 32:21those people know
  960. 32:22ideas of what's coming. And so they're
  961. 32:24probably realizing like, yeah, in a year
  962. 32:26or two from now, a lot of those simple
  963. 32:28SAS tools, if you don't have great
  964. 32:29distribution or a a brand, they're not
  965. 32:32going to make a whole lot of sense. And
  966. 32:33so I think that's part of the list, too.
  967. 32:34Is is that
  968. 32:35Like personally, I'm happy that people
  969. 32:37are working on those hard problems, but
  970. 32:39I personally prefer working on easy
  971. 32:42problems.
  972. 32:42The one to n or or whatever versus zero
  973. 32:44to one?
  974. 32:45Yeah.
  975. 32:45Yeah, I think it's like I'm a thin
  976. 32:48wrapper guy.
  977. 32:50And I've I've I'm I did the whole
  978. 32:52Silicon Valley thing. I lived 9 years
  979. 32:54there. I've been a part of companies
  980. 32:56that have raised billions of dollars.
  981. 32:57Like I could say I did it. But man, am I
  982. 33:00glad to be on the other side.
  983. 33:02Yeah.
  984. 33:03And yeah. And and and creating thin
  985. 33:06wrappers
  986. 33:07with deep communities. Like that should
  987. 33:09be the title of this this Something like
  988. 33:12that. It's like thin wrappers and deep
  989. 33:14communities. Like that's the strategy
  990. 33:15for You want to win in AI? Like that's
  991. 33:17literally the strategy.
  992. 33:18But before we do wrap up, I do want to
  993. 33:20ask about you probably need a robot.
  994. 33:22Could you quickly explain that to me
  995. 33:24because I was asking Nathan about it and
  996. 33:27you know, I figured the the best person
  997. 33:29to ask about it and get the explanation
  998. 33:31from is from Greg himself. So could you
  999. 33:33tell me a little bit about what that is?
  1000. 33:34I start all businesses with this
  1001. 33:36framework of mine. We call it the ACP
  1002. 33:38funnel. Audience, community, product.
  1003. 33:41So like I was talking about with boring
  1004. 33:42marketing, we started with the Twitter
  1005. 33:43account. We did the same thing with you
  1006. 33:46probably need a robot. This is like over
  1007. 33:48a year ago. Yeah, over a year ago.
  1008. 33:51AI obviously wasn't as big as what it is
  1009. 33:53today.
  1010. 33:54And we created a Twitter account where
  1011. 33:57we just share productivity tips with
  1012. 34:00like we use this tool and here's what we
  1013. 34:02learned. And then we opened up a
  1014. 34:03Discord.
  1015. 34:05And then we got like 20,000 people to
  1016. 34:07join the Discord. Uh maybe more, 25,000.
  1017. 34:11And we saw that there was demand. And
  1018. 34:13then we
  1019. 34:15of those people, we turned it into a
  1020. 34:16newsletter. And then every week we would
  1021. 34:18give people like deep dives around
  1022. 34:20here's how we're using AI this week.
  1023. 34:23So less of not like AI news or anything
  1024. 34:25like that. But just like here's here's
  1025. 34:28things that we're learning and
  1026. 34:30to make it more productive in your
  1027. 34:32business career. And it's it's evolved
  1028. 34:35other things, too. Like we we created
  1029. 34:37like a deal pass, which is very popular,
  1030. 34:39where you get access like
  1031. 34:4248
  1032. 34:44bucks, and like you get, you know,
  1033. 34:46discounts on like all the major AI
  1034. 34:48tools, or a lot of them. Like My Mind,
  1035. 34:51And Drip AI, Framer, and
  1036. 34:54Fairly.ai, Apollo. Mhm. So, a lot of
  1037. 34:57things like that. And so, we've been
  1038. 34:59able to monetize really well through
  1039. 35:00this like audience community product.
  1040. 35:02Mhm.
  1041. 35:03And then we also, you know, cuz we run a
  1042. 35:05lot of agencies, we also do helping
  1043. 35:07companies like transform their
  1044. 35:08businesses to be AI first.
  1045. 35:10The the reason I wanted to sh- Yeah, I
  1046. 35:11just wanted to share that structure, cuz
  1047. 35:13I think that that same structure, ACP,
  1048. 35:15could be helpful for other people.
  1049. 35:17Nathan, any anything else you want to
  1050. 35:18you want to ask or add before we we wrap
  1051. 35:20this up?
  1052. 35:21Yeah, I I really appreciate you coming
  1053. 35:22here, and it's it's been awesome.
  1054. 35:23Thank you for your time, and I'm excited
  1055. 35:25to see where this goes, and you you
  1056. 35:27you're doing great.
  1057. 35:28Appreciate it.

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